deps: fastrand -> 2.0

Cargo.lock

@@ -206,7 +206,7 @@ dependencies = [
  "async-lock",
  "async-task",
  "concurrent-queue",
- "fastrand",
+ "fastrand 1.9.0",
  "futures-lite",
  "slab",
 ]
@@ -459,7 +459,7 @@ dependencies = [
  "async-lock",
  "async-task",
  "atomic-waker",
- "fastrand",
+ "fastrand 1.9.0",
  "futures-lite",
  "log",
 ]
@@ -1537,6 +1537,12 @@ dependencies = [
  "instant",
 ]
 
+[[package]]
+name = "fastrand"
+version = "2.0.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6999dc1837253364c2ebb0704ba97994bd874e8f195d665c50b7548f6ea92764"
+
 [[package]]
 name = "fdeflate"
 version = "0.3.0"
@@ -1752,7 +1758,7 @@ version = "1.13.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "49a9d51ce47660b1e808d3c990b4709f2f415d928835a17dfd16991515c46bce"
 dependencies = [
- "fastrand",
+ "fastrand 1.9.0",
  "futures-core",
  "futures-io",
  "memchr",
@@ -4914,7 +4920,7 @@ checksum = "31c0432476357e58790aaa47a8efb0c5138f137343f3b5f23bd36a27e3b0a6d6"
 dependencies = [
  "autocfg",
  "cfg-if",
- "fastrand",
+ "fastrand 1.9.0",
  "redox_syscall 0.3.5",
  "rustix",
  "windows-sys 0.48.0",
@@ -5932,7 +5938,7 @@ dependencies = [
  "env-bootstrap",
  "env_logger",
  "euclid",
- "fastrand",
+ "fastrand 2.0.0",
  "filedescriptor",
  "finl_unicode",
  "frecency",

wezterm-gui/Cargo.toml

@@ -47,7 +47,7 @@ dirs-next = "2.0"
 emojis = "0.6"
 env-bootstrap = { path = "../env-bootstrap" }
 euclid = "0.22"
-fastrand = "1.6"
+fastrand = "2.0"
 filedescriptor = { version="0.8", path = "../filedescriptor" }
 finl_unicode = "1.2"
 frecency = { path = "../frecency" }

wezterm-gui/src/termwindow/background.rs

@@ -50,7 +50,7 @@ impl CachedGradient {
 
         let (dmin, dmax) = grad.domain();
 
-        let rng = fastrand::Rng::new();
+        let mut rng = fastrand::Rng::new();
 
         // We add some randomness to the position that we use to
         // index into the color gradient, so that we can avoid
@@ -65,7 +65,7 @@ impl CachedGradient {
             }
         });
 
-        fn noise(rng: &fastrand::Rng, noise_amount: usize) -> f64 {
+        fn noise(rng: &mut fastrand::Rng, noise_amount: usize) -> f64 {
             if noise_amount == 0 {
                 0.
             } else {
@@ -77,7 +77,7 @@ impl CachedGradient {
             GradientOrientation::Horizontal => {
                 for (x, _, pixel) in imgbuf.enumerate_pixels_mut() {
                     *pixel = to_pixel(grad.at(remap(
-                        x as f64 + noise(&rng, noise_amount),
+                        x as f64 + noise(&mut rng, noise_amount),
                         0.0,
                         fw,
                         dmin,
@@ -88,7 +88,7 @@ impl CachedGradient {
             GradientOrientation::Vertical => {
                 for (_, y, pixel) in imgbuf.enumerate_pixels_mut() {
                     *pixel = to_pixel(grad.at(remap(
-                        y as f64 + noise(&rng, noise_amount),
+                        y as f64 + noise(&mut rng, noise_amount),
                         0.0,
                         fh,
                         dmin,
@@ -103,7 +103,7 @@ impl CachedGradient {
                     let (x, y) = (x - fw / 2., y - fh / 2.);
                     let t = x * f64::cos(angle) - y * f64::sin(angle);
                     *pixel = to_pixel(grad.at(remap(
-                        t + noise(&rng, noise_amount),
+                        t + noise(&mut rng, noise_amount),
                         -fw / 2.,
                         fw / 2.,
                         dmin,
@@ -126,12 +126,12 @@ impl CachedGradient {
                     let nx = if ((cx - x).abs() as usize) < noise_amount {
                         0.
                     } else {
-                        noise(&rng, noise_amount)
+                        noise(&mut rng, noise_amount)
                     };
                     let ny = if ((cy - y).abs() as usize) < noise_amount {
                         0.
                     } else {
-                        noise(&rng, noise_amount)
+                        noise(&mut rng, noise_amount)
                     };
 
                     let t = (nx + (x - cx).powi(2) + (ny + y - cy).powi(2)).sqrt() / radius;